Pandas Profile Report

Dataset statistics

Number of variables	40
Number of observations	50000
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	15.6 MiB
Average record size in memory	328.0 B

Variable types

Numeric	9
Categorical	31

Alerts

`count_floors_pre_eq` is highly overall correlated with `height_percentage` and 1 other fields	High correlation
`height_percentage` is highly overall correlated with `count_floors_pre_eq`	High correlation
`foundation_type` is highly overall correlated with `roof_type` and 4 other fields	High correlation
`roof_type` is highly overall correlated with `foundation_type` and 1 other fields	High correlation
`ground_floor_type` is highly overall correlated with `has_superstructure_mud_mortar_stone` and 1 other fields	High correlation
`other_floor_type` is highly overall correlated with `count_floors_pre_eq` and 1 other fields	High correlation
`has_superstructure_mud_mortar_stone` is highly overall correlated with `foundation_type` and 1 other fields	High correlation
`has_superstructure_cement_mortar_brick` is highly overall correlated with `foundation_type` and 1 other fields	High correlation
`has_superstructure_rc_non_engineered` is highly overall correlated with `foundation_type`	High correlation
`has_superstructure_rc_engineered` is highly overall correlated with `foundation_type`	High correlation
`has_secondary_use` is highly overall correlated with `has_secondary_use_agriculture` and 1 other fields	High correlation
`has_secondary_use_agriculture` is highly overall correlated with `has_secondary_use`	High correlation
`has_secondary_use_hotel` is highly overall correlated with `has_secondary_use`	High correlation
`land_surface_condition` is highly imbalanced (51.7%)	Imbalance
`foundation_type` is highly imbalanced (61.0%)	Imbalance
`ground_floor_type` is highly imbalanced (59.3%)	Imbalance
`position` is highly imbalanced (50.5%)	Imbalance
`plan_configuration` is highly imbalanced (90.9%)	Imbalance
`has_superstructure_adobe_mud` is highly imbalanced (57.2%)	Imbalance
`has_superstructure_stone_flag` is highly imbalanced (78.5%)	Imbalance
`has_superstructure_cement_mortar_stone` is highly imbalanced (86.9%)	Imbalance
`has_superstructure_mud_mortar_brick` is highly imbalanced (65.1%)	Imbalance
`has_superstructure_cement_mortar_brick` is highly imbalanced (61.3%)	Imbalance
`has_superstructure_bamboo` is highly imbalanced (57.4%)	Imbalance
`has_superstructure_rc_non_engineered` is highly imbalanced (75.2%)	Imbalance
`has_superstructure_rc_engineered` is highly imbalanced (87.6%)	Imbalance
`has_superstructure_other` is highly imbalanced (88.8%)	Imbalance
`legal_ownership_status` is highly imbalanced (86.0%)	Imbalance
`has_secondary_use_agriculture` is highly imbalanced (64.9%)	Imbalance
`has_secondary_use_hotel` is highly imbalanced (78.5%)	Imbalance
`has_secondary_use_rental` is highly imbalanced (93.5%)	Imbalance
`has_secondary_use_institution` is highly imbalanced (98.9%)	Imbalance
`has_secondary_use_school` is highly imbalanced (99.5%)	Imbalance
`has_secondary_use_industry` is highly imbalanced (98.6%)	Imbalance
`has_secondary_use_health_post` is highly imbalanced (99.7%)	Imbalance
`has_secondary_use_gov_office` is highly imbalanced (99.9%)	Imbalance
`has_secondary_use_use_police` is highly imbalanced (99.8%)	Imbalance
`has_secondary_use_other` is highly imbalanced (95.4%)	Imbalance
`building_id` has unique values	Unique
`geo_level_1_id` has 769 (1.5%) zeros	Zeros
`age` has 4964 (9.9%) zeros	Zeros
`count_families` has 3967 (7.9%) zeros	Zeros

Reproduction

Analysis started	2023-05-13 12:44:21.975970
Analysis finished	2023-05-13 12:44:32.177811
Duration	10.2 seconds
Software version	ydata-profiling vv4.1.2
Download configuration	config.json

building_id
Real number (ℝ)

Distinct	50000
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	525877.64

Minimum	4
Maximum	1052934
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	4
5-th percentile	52876.95
Q1	260832.75
median	526556.5
Q3	788735
95-th percentile	1000735.3
Maximum	1052934
Range	1052930
Interquartile range (IQR)	527902.25

Descriptive statistics

Standard deviation	304224.37
Coefficient of variation (CV)	0.57850791
Kurtosis	-1.2015965
Mean	525877.64
Median Absolute Deviation (MAD)	263981.5
Skewness	0.0023315302
Sum	2.6293882 × 10¹⁰
Variance	9.2552468 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
802906	1	< 0.1%
148929	1	< 0.1%
806659	1	< 0.1%
176858	1	< 0.1%
711095	1	< 0.1%
345812	1	< 0.1%
684277	1	< 0.1%
610427	1	< 0.1%
570690	1	< 0.1%
576726	1	< 0.1%
Other values (49990)	49990	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
31	1	< 0.1%
42	1	< 0.1%
65	1	< 0.1%
68	1	< 0.1%
118	1	< 0.1%
128	1	< 0.1%
151	1	< 0.1%

Value	Count	Frequency (%)
1052934	1	< 0.1%
1052908	1	< 0.1%
1052903	1	< 0.1%
1052883	1	< 0.1%
1052880	1	< 0.1%
1052867	1	< 0.1%
1052855	1	< 0.1%
1052847	1	< 0.1%
1052797	1	< 0.1%
1052794	1	< 0.1%

geo_level_1_id
Real number (ℝ)

Distinct	31
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.91538

Minimum	0
Maximum	30
Zeros	769
Zeros (%)	1.5%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	7
median	12
Q3	21
95-th percentile	27
Maximum	30
Range	30
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.0080224
Coefficient of variation (CV)	0.57547996
Kurtosis	-1.2112282
Mean	13.91538
Median Absolute Deviation (MAD)	6
Skewness	0.26578479
Sum	695769
Variance	64.128422
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
6	4737	9.5%
17	4283	8.6%
26	4207	8.4%
10	4206	8.4%
7	3693	7.4%
8	3608	7.2%
20	3363	6.7%
21	2949	5.9%
4	2776	5.6%
27	2388	4.8%
Other values (21)	13790	27.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	769	1.5%
1	520	1.0%
2	186	0.4%
3	1364	2.7%
4	2776	5.6%
5	491	1.0%
6	4737	9.5%
7	3693	7.4%
8	3608	7.2%
9	747	1.5%

Value	Count	Frequency (%)
30	507	1.0%
29	79	0.2%
28	48	0.1%
27	2388	4.8%
26	4207	8.4%
25	1118	2.2%
24	272	0.5%
23	207	0.4%
22	1181	2.4%
21	2949	5.9%

geo_level_2_id
Real number (ℝ)

Distinct	1351
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	700.13604

Minimum	0
Maximum	1427
Zeros	6
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	0
5-th percentile	70
Q1	350
median	698
Q3	1049
95-th percentile	1376
Maximum	1427
Range	1427
Interquartile range (IQR)	699

Descriptive statistics

Standard deviation	412.69801
Coefficient of variation (CV)	0.58945403
Kurtosis	-1.1883201
Mean	700.13604
Median Absolute Deviation (MAD)	350
Skewness	0.03762659
Sum	35006802
Variance	170319.65
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39	745	1.5%
158	477	1.0%
157	386	0.8%
363	380	0.8%
181	380	0.8%
1387	363	0.7%
673	360	0.7%
533	339	0.7%
463	334	0.7%
548	312	0.6%
Other values (1341)	45924	91.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	< 0.1%
1	37	0.1%
3	12	< 0.1%
4	59	0.1%
5	4	< 0.1%
6	1	< 0.1%
7	17	< 0.1%
8	24	< 0.1%
9	61	0.1%
10	78	0.2%

Value	Count	Frequency (%)
1427	2	< 0.1%
1426	61	0.1%
1425	89	0.2%
1424	1	< 0.1%
1423	1	< 0.1%
1422	45	0.1%
1421	53	0.1%
1420	1	< 0.1%
1419	29	0.1%
1418	30	0.1%

geo_level_3_id
Real number (ℝ)

Distinct	9215
Distinct (%)	18.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6270.3066

Minimum	3
Maximum	12565
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	3
5-th percentile	609
Q1	3083.75
median	6276
Q3	9429
95-th percentile	11945
Maximum	12565
Range	12562
Interquartile range (IQR)	6345.25

Descriptive statistics

Standard deviation	3653.061
Coefficient of variation (CV)	0.58259687
Kurtosis	-1.216275
Mean	6270.3066
Median Absolute Deviation (MAD)	3177
Skewness	-0.00092974109
Sum	3.1351533 × 10⁸
Variance	13344855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9133	116	0.2%
633	111	0.2%
621	99	0.2%
11440	97	0.2%
11246	90	0.2%
2005	85	0.2%
7723	84	0.2%
9229	64	0.1%
2452	62	0.1%
7868	58	0.1%
Other values (9205)	49134	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
5	2	< 0.1%
6	1	< 0.1%
8	8	< 0.1%
11	7	< 0.1%
14	4	< 0.1%
15	8	< 0.1%
16	9	< 0.1%
17	3	< 0.1%
19	3	< 0.1%

Value	Count	Frequency (%)
12565	1	< 0.1%
12564	3	< 0.1%
12563	4	< 0.1%
12561	4	< 0.1%
12560	3	< 0.1%
12559	1	< 0.1%
12557	10	< 0.1%
12556	3	< 0.1%
12555	3	< 0.1%
12553	5	< 0.1%

count_floors_pre_eq
Real number (ℝ)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.12872

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	3
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.72795725
Coefficient of variation (CV)	0.34196947
Kurtosis	2.6076542
Mean	2.12872
Median Absolute Deviation (MAD)	0
Skewness	0.86970281
Sum	106436
Variance	0.52992176
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	30131	60.3%
3	10620	21.2%
1	7746	15.5%
4	1009	2.0%
5	449	0.9%
6	31	0.1%
7	12	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	7746	15.5%
2	30131	60.3%
3	10620	21.2%
4	1009	2.0%
5	449	0.9%
6	31	0.1%
7	12	< 0.1%
8	1	< 0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	1	< 0.1%
7	12	< 0.1%
6	31	0.1%
5	449	0.9%
4	1009	2.0%
3	10620	21.2%
2	30131	60.3%
1	7746	15.5%

age
Real number (ℝ)

Distinct	36
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.4032

Minimum	0
Maximum	995
Zeros	4964
Zeros (%)	9.9%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	10
median	15
Q3	30
95-th percentile	60
Maximum	995
Range	995
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	72.817382
Coefficient of variation (CV)	2.7578999
Kurtosis	160.48721
Mean	26.4032
Median Absolute Deviation (MAD)	10
Skewness	12.310651
Sum	1320160
Variance	5302.3711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
10	7443	14.9%
15	6985	14.0%
5	6455	12.9%
20	6186	12.4%
0	4964	9.9%
25	4642	9.3%
30	3451	6.9%
35	2093	4.2%
40	2022	4.0%
50	1437	2.9%
Other values (26)	4322	8.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	4964	9.9%
5	6455	12.9%
10	7443	14.9%
15	6985	14.0%
20	6186	12.4%
25	4642	9.3%
30	3451	6.9%
35	2093	4.2%
40	2022	4.0%
45	889	1.8%

Value	Count	Frequency (%)
995	261	0.5%
200	27	0.1%
190	1	< 0.1%
175	1	< 0.1%
160	1	< 0.1%
155	1	< 0.1%
150	20	< 0.1%
140	3	< 0.1%
135	1	< 0.1%
130	2	< 0.1%

area_percentage
Real number (ℝ)

Distinct	69
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.01296

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	7
Q3	9
95-th percentile	16
Maximum	100
Range	99
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.4057485
Coefficient of variation (CV)	0.54982785
Kurtosis	29.913623
Mean	8.01296
Median Absolute Deviation (MAD)	2
Skewness	3.5361778
Sum	400648
Variance	19.41062
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	8191	16.4%
7	6937	13.9%
5	6263	12.5%
8	5475	10.9%
9	4267	8.5%
4	3662	7.3%
10	3037	6.1%
11	2676	5.4%
3	2317	4.6%
12	1410	2.8%
Other values (59)	5765	11.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	17	< 0.1%
2	598	1.2%
3	2317	4.6%
4	3662	7.3%
5	6263	12.5%
6	8191	16.4%
7	6937	13.9%
8	5475	10.9%
9	4267	8.5%
10	3037	6.1%

Value	Count	Frequency (%)
100	1	< 0.1%
86	1	< 0.1%
85	1	< 0.1%
78	1	< 0.1%
75	1	< 0.1%
67	4	< 0.1%
66	3	< 0.1%
65	2	< 0.1%
64	1	< 0.1%
63	2	< 0.1%

height_percentage
Real number (ℝ)

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.43816

Minimum	2
Maximum	32
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	4
median	5
Q3	6
95-th percentile	9
Maximum	32
Range	30
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9425888
Coefficient of variation (CV)	0.35721435
Kurtosis	16.945686
Mean	5.43816
Median Absolute Deviation (MAD)	1
Skewness	2.0178173
Sum	271908
Variance	3.7736513
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
5	15181	30.4%
6	9001	18.0%
4	7154	14.3%
7	6734	13.5%
3	4895	9.8%
8	2648	5.3%
2	1848	3.7%
9	1023	2.0%
10	839	1.7%
11	191	0.4%
Other values (14)	486	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1848	3.7%
3	4895	9.8%
4	7154	14.3%
5	15181	30.4%
6	9001	18.0%
7	6734	13.5%
8	2648	5.3%
9	1023	2.0%
10	839	1.7%
11	191	0.4%

Value	Count	Frequency (%)
32	19	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
23	2	< 0.1%
21	6	< 0.1%
20	6	< 0.1%
19	1	< 0.1%
18	11	< 0.1%
17	4	< 0.1%
16	36	0.1%

land_surface_condition
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

t	41685
n	6732
o	1583

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	o
3rd row	t
4th row	t
5th row	t

Common Values

Value	Count	Frequency (%)
t	41685	83.4%
n	6732	13.5%
o	1583	3.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
t	41685	83.4%
n	6732	13.5%
o	1583	3.2%

Most occurring characters

Value	Count	Frequency (%)
t	41685	83.4%
n	6732	13.5%
o	1583	3.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	41685	83.4%
n	6732	13.5%
o	1583	3.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	41685	83.4%
n	6732	13.5%
o	1583	3.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	41685	83.4%
n	6732	13.5%
o	1583	3.2%

foundation_type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

r	42069
w	2907
u	2727
i	2028
h	269

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	r
2nd row	r
3rd row	r
4th row	r
5th row	r

Common Values

Value	Count	Frequency (%)
r	42069	84.1%
w	2907	5.8%
u	2727	5.5%
i	2028	4.1%
h	269	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
r	42069	84.1%
w	2907	5.8%
u	2727	5.5%
i	2028	4.1%
h	269	0.5%

Most occurring characters

Value	Count	Frequency (%)
r	42069	84.1%
w	2907	5.8%
u	2727	5.5%
i	2028	4.1%
h	269	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	42069	84.1%
w	2907	5.8%
u	2727	5.5%
i	2028	4.1%
h	269	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	42069	84.1%
w	2907	5.8%
u	2727	5.5%
i	2028	4.1%
h	269	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	42069	84.1%
w	2907	5.8%
u	2727	5.5%
i	2028	4.1%
h	269	0.5%

roof_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

n	35125
q	11774
x	3101

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	n
2nd row	n
3rd row	n
4th row	n
5th row	n

Common Values

Value	Count	Frequency (%)
n	35125	70.2%
q	11774	23.5%
x	3101	6.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
n	35125	70.2%
q	11774	23.5%
x	3101	6.2%

Most occurring characters

Value	Count	Frequency (%)
n	35125	70.2%
q	11774	23.5%
x	3101	6.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	35125	70.2%
q	11774	23.5%
x	3101	6.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	35125	70.2%
q	11774	23.5%
x	3101	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	35125	70.2%
q	11774	23.5%
x	3101	6.2%

ground_floor_type
Categorical

HIGH CORRELATION IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

f	40248
v	4778
x	4683
z	197
m	94

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	f
2nd row	x
3rd row	f
4th row	f
5th row	f

Common Values

Value	Count	Frequency (%)
f	40248	80.5%
v	4778	9.6%
x	4683	9.4%
z	197	0.4%
m	94	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
f	40248	80.5%
v	4778	9.6%
x	4683	9.4%
z	197	0.4%
m	94	0.2%

Most occurring characters

Value	Count	Frequency (%)
f	40248	80.5%
v	4778	9.6%
x	4683	9.4%
z	197	0.4%
m	94	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	40248	80.5%
v	4778	9.6%
x	4683	9.4%
z	197	0.4%
m	94	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	40248	80.5%
v	4778	9.6%
x	4683	9.4%
z	197	0.4%
m	94	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	40248	80.5%
v	4778	9.6%
x	4683	9.4%
z	197	0.4%
m	94	0.2%

other_floor_type
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

q	31698
x	8311
j	7642
s	2349

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	q
2nd row	q
3rd row	x
4th row	x
5th row	x

Common Values

Value	Count	Frequency (%)
q	31698	63.4%
x	8311	16.6%
j	7642	15.3%
s	2349	4.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
q	31698	63.4%
x	8311	16.6%
j	7642	15.3%
s	2349	4.7%

Most occurring characters

Value	Count	Frequency (%)
q	31698	63.4%
x	8311	16.6%
j	7642	15.3%
s	2349	4.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
q	31698	63.4%
x	8311	16.6%
j	7642	15.3%
s	2349	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
q	31698	63.4%
x	8311	16.6%
j	7642	15.3%
s	2349	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
q	31698	63.4%
x	8311	16.6%
j	7642	15.3%
s	2349	4.7%

position
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

s	38807
t	8227
j	2513
o	453

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	t
2nd row	s
3rd row	t
4th row	s
5th row	s

Common Values

Value	Count	Frequency (%)
s	38807	77.6%
t	8227	16.5%
j	2513	5.0%
o	453	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
s	38807	77.6%
t	8227	16.5%
j	2513	5.0%
o	453	0.9%

Most occurring characters

Value	Count	Frequency (%)
s	38807	77.6%
t	8227	16.5%
j	2513	5.0%
o	453	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	38807	77.6%
t	8227	16.5%
j	2513	5.0%
o	453	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	38807	77.6%
t	8227	16.5%
j	2513	5.0%
o	453	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	38807	77.6%
t	8227	16.5%
j	2513	5.0%
o	453	0.9%

plan_configuration
Categorical

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

d	48041
q	1077
u	671
c	55
s	52
Other values (5)	104

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	d
2nd row	d
3rd row	d
4th row	d
5th row	d

Common Values

Value	Count	Frequency (%)
d	48041	96.1%
q	1077	2.2%
u	671	1.3%
c	55	0.1%
s	52	0.1%
a	44	0.1%
o	29	0.1%
n	13	< 0.1%
m	12	< 0.1%
f	6	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
d	48041	96.1%
q	1077	2.2%
u	671	1.3%
c	55	0.1%
s	52	0.1%
a	44	0.1%
o	29	0.1%
n	13	< 0.1%
m	12	< 0.1%
f	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
d	48041	96.1%
q	1077	2.2%
u	671	1.3%
c	55	0.1%
s	52	0.1%
a	44	0.1%
o	29	0.1%
n	13	< 0.1%
m	12	< 0.1%
f	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	48041	96.1%
q	1077	2.2%
u	671	1.3%
c	55	0.1%
s	52	0.1%
a	44	0.1%
o	29	0.1%
n	13	< 0.1%
m	12	< 0.1%
f	6	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	48041	96.1%
q	1077	2.2%
u	671	1.3%
c	55	0.1%
s	52	0.1%
a	44	0.1%
o	29	0.1%
n	13	< 0.1%
m	12	< 0.1%
f	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	48041	96.1%
q	1077	2.2%
u	671	1.3%
c	55	0.1%
s	52	0.1%
a	44	0.1%
o	29	0.1%
n	13	< 0.1%
m	12	< 0.1%
f	6	< 0.1%

has_superstructure_adobe_mud
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	45623
1	4377

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	45623	91.2%
1	4377	8.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	45623	91.2%
1	4377	8.8%

Most occurring characters

Value	Count	Frequency (%)
0	45623	91.2%
1	4377	8.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	45623	91.2%
1	4377	8.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	45623	91.2%
1	4377	8.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	45623	91.2%
1	4377	8.8%

has_superstructure_mud_mortar_stone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

1	38203
0	11797

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	38203	76.4%
0	11797	23.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	38203	76.4%
0	11797	23.6%

Most occurring characters

Value	Count	Frequency (%)
1	38203	76.4%
0	11797	23.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	38203	76.4%
0	11797	23.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	38203	76.4%
0	11797	23.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	38203	76.4%
0	11797	23.6%

has_superstructure_stone_flag
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	48288
1	1712

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	48288	96.6%
1	1712	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	48288	96.6%
1	1712	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	48288	96.6%
1	1712	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	48288	96.6%
1	1712	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	48288	96.6%
1	1712	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	48288	96.6%
1	1712	3.4%

has_superstructure_cement_mortar_stone
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49090
1	910

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49090	98.2%
1	910	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49090	98.2%
1	910	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	49090	98.2%
1	910	1.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49090	98.2%
1	910	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49090	98.2%
1	910	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49090	98.2%
1	910	1.8%

has_superstructure_mud_mortar_brick
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	46725
1	3275

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	46725	93.5%
1	3275	6.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	46725	93.5%
1	3275	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	46725	93.5%
1	3275	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	46725	93.5%
1	3275	6.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	46725	93.5%
1	3275	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	46725	93.5%
1	3275	6.6%

has_superstructure_cement_mortar_brick
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	46209
1	3791

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	46209	92.4%
1	3791	7.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	46209	92.4%
1	3791	7.6%

Most occurring characters

Value	Count	Frequency (%)
0	46209	92.4%
1	3791	7.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	46209	92.4%
1	3791	7.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	46209	92.4%
1	3791	7.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	46209	92.4%
1	3791	7.6%

has_superstructure_timber
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	37245
1	12755

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	37245	74.5%
1	12755	25.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	37245	74.5%
1	12755	25.5%

Most occurring characters

Value	Count	Frequency (%)
0	37245	74.5%
1	12755	25.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	37245	74.5%
1	12755	25.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	37245	74.5%
1	12755	25.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	37245	74.5%
1	12755	25.5%

has_superstructure_bamboo
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	45658
1	4342

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	45658	91.3%
1	4342	8.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	45658	91.3%
1	4342	8.7%

Most occurring characters

Value	Count	Frequency (%)
0	45658	91.3%
1	4342	8.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	45658	91.3%
1	4342	8.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	45658	91.3%
1	4342	8.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	45658	91.3%
1	4342	8.7%

has_superstructure_rc_non_engineered
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	47935
1	2065

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	47935	95.9%
1	2065	4.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	47935	95.9%
1	2065	4.1%

Most occurring characters

Value	Count	Frequency (%)
0	47935	95.9%
1	2065	4.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	47935	95.9%
1	2065	4.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	47935	95.9%
1	2065	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	47935	95.9%
1	2065	4.1%

has_superstructure_rc_engineered
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49153
1	847

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49153	98.3%
1	847	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49153	98.3%
1	847	1.7%

Most occurring characters

Value	Count	Frequency (%)
0	49153	98.3%
1	847	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49153	98.3%
1	847	1.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49153	98.3%
1	847	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49153	98.3%
1	847	1.7%

has_superstructure_other
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49249
1	751

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49249	98.5%
1	751	1.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49249	98.5%
1	751	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	49249	98.5%
1	751	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49249	98.5%
1	751	1.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49249	98.5%
1	751	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49249	98.5%
1	751	1.5%

legal_ownership_status
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

v	48143
a	1070
w	505
r	282

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	v
2nd row	v
3rd row	v
4th row	v
5th row	v

Common Values

Value	Count	Frequency (%)
v	48143	96.3%
a	1070	2.1%
w	505	1.0%
r	282	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
v	48143	96.3%
a	1070	2.1%
w	505	1.0%
r	282	0.6%

Most occurring characters

Value	Count	Frequency (%)
v	48143	96.3%
a	1070	2.1%
w	505	1.0%
r	282	0.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50000	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
v	48143	96.3%
a	1070	2.1%
w	505	1.0%
r	282	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50000	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
v	48143	96.3%
a	1070	2.1%
w	505	1.0%
r	282	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
v	48143	96.3%
a	1070	2.1%
w	505	1.0%
r	282	0.6%

count_families
Real number (ℝ)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.98384

Minimum	0
Maximum	6
Zeros	3967
Zeros (%)	7.9%
Negative	0
Negative (%)	0.0%
Memory size	781.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.41301606
Coefficient of variation (CV)	0.41980003
Kurtosis	14.810921
Mean	0.98384
Median Absolute Deviation (MAD)	0
Skewness	1.4466337
Sum	49192
Variance	0.17058227
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	43417	86.8%
0	3967	7.9%
2	2200	4.4%
3	323	0.6%
4	63	0.1%
5	26	0.1%
6	4	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3967	7.9%
1	43417	86.8%
2	2200	4.4%
3	323	0.6%
4	63	0.1%
5	26	0.1%
6	4	< 0.1%

Value	Count	Frequency (%)
6	4	< 0.1%
5	26	0.1%
4	63	0.1%
3	323	0.6%
2	2200	4.4%
1	43417	86.8%
0	3967	7.9%

has_secondary_use
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	44294
1	5706

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	44294	88.6%
1	5706	11.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	44294	88.6%
1	5706	11.4%

Most occurring characters

Value	Count	Frequency (%)
0	44294	88.6%
1	5706	11.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	44294	88.6%
1	5706	11.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	44294	88.6%
1	5706	11.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	44294	88.6%
1	5706	11.4%

has_secondary_use_agriculture
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	46697
1	3303

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	46697	93.4%
1	3303	6.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	46697	93.4%
1	3303	6.6%

Most occurring characters

Value	Count	Frequency (%)
0	46697	93.4%
1	3303	6.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	46697	93.4%
1	3303	6.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	46697	93.4%
1	3303	6.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	46697	93.4%
1	3303	6.6%

has_secondary_use_hotel
Categorical

HIGH CORRELATION IMBALANCE

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	48287
1	1713

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	48287	96.6%
1	1713	3.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	48287	96.6%
1	1713	3.4%

Most occurring characters

Value	Count	Frequency (%)
0	48287	96.6%
1	1713	3.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	48287	96.6%
1	1713	3.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	48287	96.6%
1	1713	3.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	48287	96.6%
1	1713	3.4%

has_secondary_use_rental
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49617
1	383

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49617	99.2%
1	383	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49617	99.2%
1	383	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	49617	99.2%
1	383	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49617	99.2%
1	383	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49617	99.2%
1	383	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49617	99.2%
1	383	0.8%

has_secondary_use_institution
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49953
1	47

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49953	99.9%
1	47	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49953	99.9%
1	47	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	49953	99.9%
1	47	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49953	99.9%
1	47	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49953	99.9%
1	47	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49953	99.9%
1	47	0.1%

has_secondary_use_school
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49981
1	19

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49981	> 99.9%
1	19	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49981	> 99.9%
1	19	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	49981	> 99.9%
1	19	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49981	> 99.9%
1	19	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49981	> 99.9%
1	19	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49981	> 99.9%
1	19	< 0.1%

has_secondary_use_industry
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49938
1	62

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49938	99.9%
1	62	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49938	99.9%
1	62	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	49938	99.9%
1	62	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49938	99.9%
1	62	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49938	99.9%
1	62	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49938	99.9%
1	62	0.1%

has_secondary_use_health_post
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49987
1	13

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49987	> 99.9%
1	13	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49987	> 99.9%
1	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	49987	> 99.9%
1	13	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49987	> 99.9%
1	13	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49987	> 99.9%
1	13	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49987	> 99.9%
1	13	< 0.1%

has_secondary_use_gov_office
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49997
1	3

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49997	> 99.9%
1	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49997	> 99.9%
1	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	49997	> 99.9%
1	3	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49997	> 99.9%
1	3	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49997	> 99.9%
1	3	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49997	> 99.9%
1	3	< 0.1%

has_secondary_use_use_police
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49992
1	8

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49992	> 99.9%
1	8	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49992	> 99.9%
1	8	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
0	49992	> 99.9%
1	8	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49992	> 99.9%
1	8	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49992	> 99.9%
1	8	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49992	> 99.9%
1	8	< 0.1%

has_secondary_use_other
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

0	49746
1	254

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	49746	99.5%
1	254	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	49746	99.5%
1	254	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	49746	99.5%
1	254	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	49746	99.5%
1	254	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	49746	99.5%
1	254	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	49746	99.5%
1	254	0.5%

damage_grade
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	781.2 KiB

2	28366
3	16826
1	4808

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	50000
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	2
3rd row	3
4th row	2
5th row	3

Common Values

Value	Count	Frequency (%)
2	28366	56.7%
3	16826	33.7%
1	4808	9.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2	28366	56.7%
3	16826	33.7%
1	4808	9.6%

Most occurring characters

Value	Count	Frequency (%)
2	28366	56.7%
3	16826	33.7%
1	4808	9.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	50000	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	28366	56.7%
3	16826	33.7%
1	4808	9.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	50000	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	28366	56.7%
3	16826	33.7%
1	4808	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	28366	56.7%
3	16826	33.7%
1	4808	9.6%

Auto

Heatmap
Table

	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	count_families	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_adobe_mud	has_superstructure_mud_mortar_stone	has_superstructure_stone_flag	has_superstructure_cement_mortar_stone	has_superstructure_mud_mortar_brick	has_superstructure_cement_mortar_brick	has_superstructure_timber	has_superstructure_bamboo	has_superstructure_rc_non_engineered	has_superstructure_rc_engineered	has_superstructure_other	legal_ownership_status	has_secondary_use	has_secondary_use_agriculture	has_secondary_use_hotel	has_secondary_use_rental	has_secondary_use_institution	has_secondary_use_school	has_secondary_use_industry	has_secondary_use_health_post	has_secondary_use_gov_office	has_secondary_use_use_police	has_secondary_use_other	damage_grade
building_id	1.000	-0.007	-0.001	-0.005	0.006	0.003	-0.002	0.010	-0.003	0.000	0.007	0.000	0.000	0.006	0.000	0.000	0.000	0.000	0.005	0.013	0.005	0.008	0.000	0.000	0.013	0.000	0.009	0.003	0.000	0.004	0.000	0.005	0.000	0.005	0.000	0.002	0.000	0.001	0.000	0.013
geo_level_1_id	-0.007	1.000	-0.066	0.008	-0.088	-0.064	0.035	-0.077	0.035	0.032	0.196	0.203	0.108	0.126	0.134	0.030	0.269	0.330	0.104	0.062	0.272	0.208	0.208	0.235	0.042	0.060	0.056	0.085	0.105	0.133	0.029	0.039	0.000	0.000	0.009	0.017	0.000	0.000	0.032	0.269
geo_level_2_id	-0.001	-0.066	1.000	-0.002	0.037	0.033	-0.020	0.031	-0.015	0.048	0.098	0.084	0.067	0.068	0.078	0.016	0.081	0.157	0.057	0.027	0.097	0.125	0.089	0.092	0.059	0.066	0.041	0.065	0.024	0.032	0.036	0.034	0.009	0.016	0.000	0.000	0.000	0.000	0.025	0.068
geo_level_3_id	-0.005	0.008	-0.002	1.000	-0.016	0.005	0.003	-0.021	-0.000	0.028	0.033	0.036	0.023	0.030	0.027	0.009	0.041	0.033	0.032	0.020	0.055	0.033	0.054	0.037	0.030	0.043	0.025	0.029	0.000	0.026	0.019	0.011	0.007	0.004	0.009	0.000	0.000	0.019	0.016	0.021
count_floors_pre_eq	0.006	-0.088	0.037	-0.016	1.000	0.259	0.126	0.754	0.075	0.051	0.147	0.186	0.126	0.583	0.316	0.057	0.197	0.354	0.050	0.039	0.386	0.257	0.097	0.085	0.105	0.151	0.033	0.066	0.082	0.054	0.153	0.064	0.044	0.009	0.043	0.027	0.033	0.018	0.020	0.151
age	0.003	-0.064	0.033	0.005	0.259	1.000	-0.021	0.194	0.052	0.017	0.041	0.011	0.035	0.021	0.113	0.008	0.104	0.069	0.029	0.000	0.147	0.000	0.017	0.012	0.009	0.009	0.000	0.009	0.008	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.009	0.020
area_percentage	-0.002	0.035	-0.020	0.003	0.126	-0.021	1.000	0.210	0.070	0.021	0.169	0.255	0.170	0.188	0.051	0.056	0.035	0.245	0.004	0.074	0.062	0.216	0.054	0.035	0.192	0.227	0.004	0.000	0.118	0.016	0.163	0.098	0.075	0.069	0.009	0.013	0.020	0.000	0.023	0.105
height_percentage	0.010	-0.077	0.031	-0.021	0.754	0.194	0.210	1.000	0.056	0.032	0.171	0.243	0.124	0.305	0.218	0.042	0.152	0.261	0.020	0.043	0.250	0.146	0.062	0.061	0.168	0.258	0.010	0.036	0.135	0.047	0.207	0.109	0.066	0.023	0.046	0.059	0.062	0.016	0.048	0.097
count_families	-0.003	0.035	-0.015	-0.000	0.075	0.052	0.070	0.056	1.000	0.012	0.057	0.081	0.048	0.071	0.043	0.000	0.036	0.065	0.006	0.019	0.042	0.048	0.039	0.032	0.053	0.071	0.007	0.017	0.112	0.046	0.081	0.086	0.042	0.018	0.016	0.009	0.072	0.016	0.036	0.063
land_surface_condition	0.000	0.032	0.048	0.028	0.051	0.017	0.021	0.032	0.012	1.000	0.031	0.037	0.045	0.037	0.033	0.022	0.018	0.078	0.052	0.006	0.063	0.054	0.047	0.032	0.006	0.022	0.036	0.017	0.012	0.000	0.015	0.005	0.005	0.000	0.004	0.004	0.000	0.000	0.019	0.024
foundation_type	0.007	0.196	0.098	0.033	0.147	0.041	0.169	0.171	0.057	0.031	1.000	0.549	0.359	0.410	0.104	0.054	0.106	0.556	0.146	0.207	0.075	0.514	0.343	0.308	0.505	0.548	0.110	0.146	0.176	0.061	0.262	0.199	0.073	0.040	0.022	0.022	0.037	0.020	0.020	0.310
roof_type	0.000	0.203	0.084	0.036	0.186	0.011	0.255	0.243	0.081	0.037	0.549	1.000	0.475	0.521	0.136	0.054	0.072	0.437	0.042	0.087	0.037	0.417	0.141	0.093	0.448	0.482	0.024	0.028	0.168	0.063	0.246	0.195	0.073	0.024	0.021	0.026	0.029	0.017	0.016	0.244
ground_floor_type	0.000	0.108	0.067	0.023	0.126	0.035	0.170	0.124	0.048	0.045	0.359	0.475	1.000	0.367	0.086	0.056	0.082	0.506	0.131	0.157	0.048	0.589	0.101	0.083	0.368	0.376	0.037	0.030	0.158	0.074	0.260	0.162	0.059	0.049	0.038	0.023	0.022	0.009	0.041	0.264
other_floor_type	0.006	0.126	0.068	0.030	0.583	0.021	0.188	0.305	0.071	0.037	0.410	0.521	0.367	1.000	0.119	0.055	0.087	0.451	0.125	0.101	0.037	0.443	0.164	0.070	0.386	0.430	0.040	0.065	0.186	0.068	0.271	0.193	0.083	0.045	0.028	0.031	0.034	0.000	0.024	0.248
position	0.000	0.134	0.078	0.027	0.316	0.113	0.051	0.218	0.043	0.033	0.104	0.136	0.086	0.119	1.000	0.026	0.190	0.280	0.012	0.041	0.344	0.127	0.059	0.060	0.102	0.102	0.000	0.030	0.128	0.032	0.214	0.066	0.010	0.006	0.027	0.007	0.000	0.000	0.014	0.048
plan_configuration	0.000	0.030	0.016	0.009	0.057	0.008	0.056	0.042	0.000	0.022	0.054	0.054	0.056	0.055	0.026	1.000	0.026	0.108	0.015	0.020	0.049	0.097	0.028	0.013	0.034	0.041	0.022	0.016	0.012	0.018	0.033	0.025	0.000	0.027	0.000	0.000	0.000	0.048	0.000	0.057
has_superstructure_adobe_mud	0.000	0.269	0.081	0.041	0.197	0.104	0.035	0.152	0.036	0.018	0.106	0.072	0.082	0.087	0.190	0.026	1.000	0.307	0.013	0.011	0.306	0.032	0.009	0.002	0.037	0.037	0.044	0.053	0.014	0.004	0.013	0.000	0.004	0.000	0.000	0.000	0.000	0.000	0.005	0.074
has_superstructure_mud_mortar_stone	0.000	0.330	0.157	0.033	0.354	0.069	0.245	0.261	0.065	0.078	0.556	0.437	0.506	0.451	0.280	0.108	0.307	1.000	0.032	0.110	0.361	0.474	0.037	0.050	0.227	0.232	0.032	0.144	0.082	0.065	0.162	0.115	0.033	0.029	0.029	0.006	0.010	0.000	0.000	0.336
has_superstructure_stone_flag	0.005	0.104	0.057	0.032	0.050	0.029	0.004	0.020	0.006	0.052	0.146	0.042	0.131	0.125	0.012	0.015	0.013	0.032	1.000	0.037	0.031	0.041	0.131	0.074	0.007	0.024	0.063	0.007	0.000	0.010	0.012	0.014	0.000	0.000	0.002	0.000	0.000	0.000	0.008	0.062
has_superstructure_cement_mortar_stone	0.013	0.062	0.027	0.020	0.039	0.000	0.074	0.043	0.019	0.006	0.207	0.087	0.157	0.101	0.041	0.020	0.011	0.110	0.037	1.000	0.000	0.083	0.019	0.000	0.087	0.031	0.001	0.018	0.045	0.014	0.072	0.038	0.017	0.008	0.000	0.000	0.000	0.000	0.014	0.062
has_superstructure_mud_mortar_brick	0.005	0.272	0.097	0.055	0.386	0.147	0.062	0.250	0.042	0.063	0.075	0.037	0.048	0.037	0.344	0.049	0.306	0.361	0.031	0.000	1.000	0.027	0.000	0.000	0.030	0.022	0.018	0.041	0.009	0.040	0.029	0.010	0.000	0.000	0.014	0.000	0.000	0.000	0.000	0.064
has_superstructure_cement_mortar_brick	0.008	0.208	0.125	0.033	0.257	0.000	0.216	0.146	0.048	0.054	0.514	0.417	0.589	0.443	0.127	0.097	0.032	0.474	0.041	0.083	0.027	1.000	0.060	0.053	0.142	0.128	0.006	0.075	0.070	0.058	0.139	0.098	0.024	0.015	0.029	0.000	0.000	0.003	0.005	0.278
has_superstructure_timber	0.000	0.208	0.089	0.054	0.097	0.017	0.054	0.062	0.039	0.047	0.343	0.141	0.101	0.164	0.059	0.028	0.009	0.037	0.131	0.019	0.000	0.060	1.000	0.446	0.027	0.070	0.108	0.105	0.020	0.005	0.030	0.027	0.000	0.000	0.000	0.007	0.000	0.000	0.005	0.073
has_superstructure_bamboo	0.000	0.235	0.092	0.037	0.085	0.012	0.035	0.061	0.032	0.032	0.308	0.093	0.083	0.070	0.060	0.013	0.002	0.050	0.074	0.000	0.000	0.053	0.446	1.000	0.012	0.039	0.119	0.086	0.023	0.002	0.035	0.019	0.000	0.000	0.000	0.000	0.000	0.000	0.001	0.069
has_superstructure_rc_non_engineered	0.013	0.042	0.059	0.030	0.105	0.009	0.192	0.168	0.053	0.006	0.505	0.448	0.368	0.386	0.102	0.034	0.037	0.227	0.007	0.087	0.030	0.142	0.027	0.012	1.000	0.008	0.018	0.007	0.119	0.023	0.169	0.115	0.048	0.019	0.007	0.004	0.002	0.000	0.003	0.192
has_superstructure_rc_engineered	0.000	0.060	0.066	0.043	0.151	0.009	0.227	0.258	0.071	0.022	0.548	0.482	0.376	0.430	0.102	0.041	0.037	0.232	0.024	0.031	0.022	0.128	0.070	0.039	0.008	1.000	0.009	0.008	0.108	0.031	0.149	0.130	0.039	0.017	0.019	0.011	0.029	0.016	0.008	0.237
has_superstructure_other	0.009	0.056	0.041	0.025	0.033	0.000	0.004	0.010	0.007	0.036	0.110	0.024	0.037	0.040	0.000	0.022	0.044	0.032	0.063	0.001	0.018	0.006	0.108	0.119	0.018	0.009	1.000	0.008	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.035
legal_ownership_status	0.003	0.085	0.065	0.029	0.066	0.009	0.000	0.036	0.017	0.017	0.146	0.028	0.030	0.065	0.030	0.016	0.053	0.144	0.007	0.018	0.041	0.075	0.105	0.086	0.007	0.008	0.008	1.000	0.028	0.016	0.053	0.006	0.000	0.017	0.000	0.000	0.000	0.000	0.018	0.067
has_secondary_use	0.000	0.105	0.024	0.000	0.082	0.008	0.118	0.135	0.112	0.012	0.176	0.168	0.158	0.186	0.128	0.012	0.014	0.082	0.000	0.045	0.009	0.070	0.020	0.023	0.119	0.108	0.000	0.028	1.000	0.741	0.525	0.244	0.084	0.053	0.097	0.043	0.017	0.032	0.199	0.072
has_secondary_use_agriculture	0.004	0.133	0.032	0.026	0.054	0.014	0.016	0.047	0.046	0.000	0.061	0.063	0.074	0.068	0.032	0.018	0.004	0.065	0.010	0.014	0.040	0.058	0.005	0.002	0.023	0.031	0.000	0.016	0.741	1.000	0.050	0.022	0.005	0.000	0.007	0.000	0.000	0.000	0.073	0.051
has_secondary_use_hotel	0.000	0.029	0.036	0.019	0.153	0.000	0.163	0.207	0.081	0.015	0.262	0.246	0.260	0.271	0.214	0.033	0.013	0.162	0.012	0.072	0.029	0.139	0.030	0.035	0.169	0.149	0.000	0.053	0.525	0.050	1.000	0.015	0.000	0.000	0.002	0.000	0.000	0.000	0.000	0.112
has_secondary_use_rental	0.005	0.039	0.034	0.011	0.064	0.000	0.098	0.109	0.086	0.005	0.199	0.195	0.162	0.193	0.066	0.025	0.000	0.115	0.014	0.038	0.010	0.098	0.027	0.019	0.115	0.130	0.000	0.006	0.244	0.022	0.015	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.095
has_secondary_use_institution	0.000	0.000	0.009	0.007	0.044	0.000	0.075	0.066	0.042	0.005	0.073	0.073	0.059	0.083	0.010	0.000	0.004	0.033	0.000	0.017	0.000	0.024	0.000	0.000	0.048	0.039	0.000	0.000	0.084	0.005	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.041
has_secondary_use_school	0.005	0.000	0.016	0.004	0.009	0.000	0.069	0.023	0.018	0.000	0.040	0.024	0.049	0.045	0.006	0.027	0.000	0.029	0.000	0.008	0.000	0.015	0.000	0.000	0.019	0.017	0.000	0.017	0.053	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.007
has_secondary_use_industry	0.000	0.009	0.000	0.009	0.043	0.000	0.009	0.046	0.016	0.004	0.022	0.021	0.038	0.028	0.027	0.000	0.000	0.029	0.002	0.000	0.014	0.029	0.000	0.000	0.007	0.019	0.000	0.000	0.097	0.007	0.002	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.016
has_secondary_use_health_post	0.002	0.017	0.000	0.000	0.027	0.000	0.013	0.059	0.009	0.004	0.022	0.026	0.023	0.031	0.007	0.000	0.000	0.006	0.000	0.000	0.000	0.000	0.007	0.000	0.004	0.011	0.000	0.000	0.043	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.019
has_secondary_use_gov_office	0.000	0.000	0.000	0.000	0.033	0.000	0.020	0.062	0.072	0.000	0.037	0.029	0.022	0.034	0.000	0.000	0.000	0.010	0.000	0.000	0.000	0.000	0.000	0.000	0.002	0.029	0.000	0.000	0.017	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.014
has_secondary_use_use_police	0.001	0.000	0.000	0.019	0.018	0.000	0.000	0.016	0.016	0.000	0.020	0.017	0.009	0.000	0.000	0.048	0.000	0.000	0.000	0.000	0.000	0.003	0.000	0.000	0.000	0.016	0.000	0.000	0.032	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.005
has_secondary_use_other	0.000	0.032	0.025	0.016	0.020	0.009	0.023	0.048	0.036	0.019	0.020	0.016	0.041	0.024	0.014	0.000	0.005	0.000	0.008	0.014	0.000	0.005	0.005	0.001	0.003	0.008	0.004	0.018	0.199	0.073	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.010
damage_grade	0.013	0.269	0.068	0.021	0.151	0.020	0.105	0.097	0.063	0.024	0.310	0.244	0.264	0.248	0.048	0.057	0.074	0.336	0.062	0.062	0.064	0.278	0.073	0.069	0.192	0.237	0.035	0.067	0.072	0.051	0.112	0.095	0.041	0.007	0.016	0.019	0.014	0.005	0.010	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_adobe_mud	has_superstructure_mud_mortar_stone	has_superstructure_cement_mortar_brick	has_superstructure_timber	has_superstructure_bamboo	legal_ownership_status	count_families	has_secondary_use	has_secondary_use_agriculture	damage_grade
0	802906	6	487	12198	2	30	6	5	t	r	n	f	q	t	d	1	1	0	0	0	v	1	0	0	3
1	28830	8	900	2812	2	10	8	7	o	r	n	x	q	s	d	0	1	0	0	0	v	1	0	0	2
2	94947	21	363	8973	2	10	5	5	t	r	n	f	x	t	d	0	1	0	0	0	v	1	0	0	3
3	590882	22	418	10694	2	10	6	5	t	r	n	f	x	s	d	0	1	0	1	1	v	1	0	0	2
4	201944	11	131	1488	3	30	8	9	t	r	n	f	x	s	d	1	0	0	0	0	v	1	0	0	3
5	333020	8	558	6089	2	10	9	5	t	r	n	f	q	s	d	0	1	0	0	0	v	1	1	1	2
6	728451	9	475	12066	2	25	3	4	n	r	n	x	q	s	d	0	1	0	0	0	v	1	0	0	3
7	475515	20	323	12236	2	0	8	6	t	w	q	v	x	s	u	0	0	1	1	0	v	1	0	0	1
8	441126	0	757	7219	2	15	8	6	t	r	q	f	q	s	d	0	1	0	1	0	v	1	0	0	2
9	989500	26	886	994	1	0	13	4	t	i	n	v	j	s	d	0	0	1	0	0	v	1	0	0	1

	building_id	geo_level_1_id	geo_level_2_id	geo_level_3_id	count_floors_pre_eq	age	area_percentage	height_percentage	land_surface_condition	foundation_type	roof_type	ground_floor_type	other_floor_type	position	plan_configuration	has_superstructure_mud_mortar_stone	has_superstructure_mud_mortar_brick	has_superstructure_timber	legal_ownership_status	count_families	has_secondary_use	has_secondary_use_agriculture	damage_grade
49990	973754	26	1132	6645	1	0	6	5	t	w	n	f	j	s	d	0	0	1	a	1	0	0	1
49991	933834	21	937	3953	3	35	6	7	t	r	q	f	x	s	d	1	0	1	v	2	0	0	3
49992	653753	22	816	4270	2	5	8	4	t	r	n	f	q	s	d	1	0	0	v	1	0	0	3
49993	38552	21	1128	3830	3	35	7	6	n	r	n	f	q	s	d	1	0	1	v	1	0	0	3
49994	59165	6	1289	10021	2	35	7	5	t	r	n	f	q	t	d	1	0	0	v	1	1	1	2
49995	468373	22	835	6760	2	15	6	5	t	r	n	f	x	s	d	1	0	0	v	1	0	0	2
49996	532950	8	597	6351	2	20	5	6	t	r	n	f	q	t	d	1	0	0	v	1	1	1	2
49997	825402	7	129	4857	2	20	9	4	t	r	n	f	q	s	d	1	0	1	v	1	0	0	3
49998	824964	11	765	10814	2	5	3	6	t	u	n	x	q	t	d	0	1	0	v	1	0	0	2
49999	283824	20	492	4721	2	5	9	4	n	w	n	f	q	s	d	1	0	1	a	1	0	0	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII